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Record W1908036243 · doi:10.1002/nur.21587

Self‐Compassion and Risk Behavior Among People Living With HIV/AIDS

2014· article· en· W1908036243 on OpenAlexaffabout
Carol Dawson Rose, Allison R. Webel, Kathleen M. Sullivan, Yvette P. Cuca, Dean Wantland, Mallory O. Johnson, John Brion, Carmen J. Portillo, Inge B. Corless, Joachim G. Voss, Wei‐Ti Chen, J. Craig Phillips, Lynda Tyer‐Viola, Marta Rivero‐Méndez, Patrice K. Nicholas, Kathleen M. Nokes, Jeanne Kemppainen, Elizabeth Sefcik, Lucille Sanzero Eller, Scholastika Iipinge, Kenn M. Kirksey, Puangtip Chaiphibalsarisdi, Nancy Davila, Mary Jane Hamilton, Dorothy E. Hickey, Mary Maryland, Paula Reid, William L. Holzemer

Bibliographic record

VenueResearch in Nursing & Health · 2014
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Ottawa
FundersNational Center for Research ResourcesNational Institute of Nursing ResearchNational Center for Advancing Translational SciencesNational Institute of Mental Health
KeywordsCompassionSelf-compassionSexual behaviorIntervention (counseling)Human immunodeficiency virus (HIV)MedicineReproductive healthPsychologyGerontologyEnvironmental healthClinical psychologyPsychiatryFamily medicinePopulationMindfulness

Abstract

fetched live from OpenAlex

Sexual risk behavior and illicit drug use among people living with HIV/AIDS (PLWHA) contribute to poor health and onward transmission of HIV. The aim of this collaborative multi-site nursing research study was to explore the association between self-compassion and risk behaviors in PLWHA. As part of a larger project, nurse researchers in Canada, China, Namibia, Puerto Rico, Thailand and the US enrolled 1211 sexually active PLWHA using convenience sampling. The majority of the sample was male, middle-aged, and from the US. Illicit drug use was strongly associated with sexual risk behavior, but participants with higher self-compassion were less likely to report sexual risk behavior, even in the presence of illicit drug use. Self-compassion may be a novel area for behavioral intervention development for PLWHA.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.426
Teacher spread0.390 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2014
Admission routes2
Has abstractyes

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